{"id":"W6925635223","doi":"10.17605/osf.io/dxsjc","title":"Encouraging Beverage Recycling with Probabilistic Rewards (Alberta Study)","year":2024,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probabilistic logic; Preference; Production (economics); Work (physics); Term (time)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006504235,0.000343063,0.0003396758,0.0001231135,0.0001919603,0.000495931,0.001965479,0.0002082659,0.0001227642],"category_scores_gemma":[0.0005455278,0.000261846,0.00005183263,0.0005005709,0.000427536,0.000001953276,0.001707814,0.0002906407,0.00008832113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003371692,"about_ca_system_score_gemma":0.0004086179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000810477,"about_ca_topic_score_gemma":0.001229012,"domain_scores_codex":[0.9976608,0.00004017204,0.0002130226,0.001291156,0.0003528314,0.0004419799],"domain_scores_gemma":[0.9984076,0.00002571864,0.0001443381,0.001193831,0.0001040713,0.000124419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006143058,0.002282956,0.04866838,0.001257943,0.003629132,0.0003635255,0.0169739,0.001202284,0.03945605,0.008343609,0.8421398,0.03506812],"study_design_scores_gemma":[0.0003235004,0.0008485845,0.0006174987,0.001042372,0.0001346207,0.00001412867,0.001012372,0.00001619249,0.0006256397,0.00223874,0.9921301,0.0009962645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0351346,0.002964261,0.0004029914,0.0002170206,0.001892981,0.002291321,0.00003610001,0.00001987958,0.9570408],"genre_scores_gemma":[0.4029351,0.0002510343,0.01330179,0.00026105,0.001047852,0.0002308723,0.0000109704,0.0004609384,0.5815004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3755404,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511412604668898,"score_gpt":0.3063892996232633,"score_spread":0.2912751735765743,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}